This visual is customized to my own needs, but it's no fun unless others can reproduce or apply it to theirs. So, I built a fully automated version for any researcher to use.
I like data, and I think CVs can be a really dry way to look at someone’s professional life, so I wanted to put my skills towards a more fun alternative for myself.
A few years ago I came across Mathew Kiang’s blog, and he gave me the idea to treat little technical experiments on my site as their own projects. Granted, Matt’s approach is a lot more thoughtful, and mine is pretty chaotic and exploratory.
Back in 2020 I had played with D3 for the first time in a small force-directed graph, but 5 years later, I’m better trained, so this page is going to be an evolving sandbox where I try to apply my skills to better portray my academic journey so far.
Next, I tried to organize my research into themes, first automatically using keywords from my publications, but that ended up not matching what I actually cared about, so I collapsed those keywords into major categories. I think Matt was one of the first people to frame his work as “I’m interested in ABC methods and I apply them to XYZ topics,” and that felt like an elegant way to think about my work, and it stuck with me. I tag specific methods and apply them to specific domains; those tags show up below.
I colored nodes by the era when I first collaborated with each person rather than by institution or automated community detection. My career has distinct phases, each tied to a place and a set of questions, and I wanted that narrative to come through in the coloring. For the Scholar Explorer, where anyone can plug in any researcher, I used Louvain community detection to partition the network automatically.
Data sources: Co-authorship edges are derived from the same embedded publication list as the rest of this page. Era colors are hand-assigned; they are not labels from an external graph database.
| NameCollaborator name ↕ | EraPrimary affiliation era (UC Berkeley, Harvard, or UNC) ↕ | PapersJoint publications with you in the current filtered slice | Avg citeMean citation count across joint papers in this slice ↕ | SpanFirst–last year of a joint paper; sorts by most recent year ↕ | Degree CentralityNumber of distinct co-authors this person has in the induced network ↓ | Betweenness CentralityNormalized betweenness centrality (0–1); measures how often this person lies on shortest paths between others. Omitted if the network exceeds 220 authors. ↕ |
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I struggle with picking the right journal because my interests are broad, so this view helps me see where I have published across domain and method filters. I do not really subscribe to impact factors, but it is still useful to include here as part of journal placement conversations.
| Journal | Family | IF | Pubs |
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| Title | Publisher | Year | 1st Author | Domains | Methods | Citations |
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