Lisa Singh

81 papers receiving 961 citations

Lisa Singh's Hit Papers

The Evolution of Topic Modeling 2022 · 113 citations
1130+1+2Years since publication255075100

Peers

Lisa Singh
Comparison fields: 5 of 121
  • Developmental Biology 71
  • General Social Sciences 44
  • Statistical and Nonlinear Physics 156
  • Health 83
  • Artificial Intelligence 337
Replace Christofer Edling with:
Christofer Edling Sweden
Timothy D. Bowman United States
Ramine Tinati United Kingdom
Manfred Kochen United States
Pascal Pons France
Piotr Sapieżyński United States
John Nerbonne Netherlands
Scott Weingart United States
David Dekker Netherlands
Julia Silge United States
Lisa Singh relative to Christofer Edling Sweden Christofer Edling's profile →
Citations per field
00.5×7.0×
Christofer Edling · 1×
Citations per year

Countries citing papers authored by Lisa Singh

Since Specialization
Citations

This map shows the geographic impact of Lisa Singh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lisa Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Singh more than expected).

Fields of papers citing papers by Lisa Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa Singh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lisa Singh. The network helps show where Lisa Singh may publish in the future.

Co-authors

The 25 scholars most cited alongside Lisa Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lisa Singh Line = papers co-authored together Lisa Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012140
2
The Evolution of Topic Modeling
Hit paper breakdown →
2022113
3 202155
4 201555
5 201452
6 202045
7 201439
8 200935
9 202127
10 200724
11 199719
12 200719
13 201219
14 200718
15 201617
16 201915
17 202215
18 201613
19
Increased Information Leakage from Text
201412
20 201112

About Lisa Singh

Lisa Singh is a scholar working on Artificial Intelligence, Sociology and Political Science, Statistical and Nonlinear Physics, Information Systems and Computer Vision and Pattern Recognition, having authored 91 papers that have together received 1.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (23 papers), Privacy-Preserving Technologies in Data (17 papers), Topic Modeling (11 papers), Misinformation and Its Impacts (9 papers), Opinion Dynamics and Social Influence (9 papers), Spam and Phishing Detection (8 papers), Human Mobility and Location-Based Analysis (7 papers) and Hate Speech and Cyberbullying Detection (6 papers). The work is most often cited by research in Developmental Biology (71 citations), General Social Sciences (44 citations), Statistical and Nonlinear Physics (156 citations), Health (83 citations) and Artificial Intelligence (337 citations). Lisa Singh has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Kornraphop Kawintiranon, Janet Mann, Eric M. Patterson, Margaret A. Stanton, Elisa Jayne Bienenstock, Lise Getoor, Frank Nagle, Yanchen Wang, Aaron Clauset and Ceren Budak. Their work appears in journals such as Journal of Medical Internet Research, International Migration Review, ACM Transactions on Spatial Algorithms and Systems, Animal Behaviour and Data & Knowledge Engineering.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact