Lisa Singh

2.1k citations
88 papers · 982 indexed · 1 hit paper · h-index 16

Impact in

Papers in

Lisa Singh

80 papers receiving 940 citations

Hit Papers

The Evolution of Topic Modeling 2022 · 105 citations
1052022202620232024255075100

Peers

Lisa Singh
Comparison fields: 5 of 126
  • Developmental Biology 71
  • General Social Sciences 44
  • Statistical and Nonlinear Physics 157
  • Artificial Intelligence 335
  • Health 88
Replace Timothy D. Bowman with:
Timothy D. Bowman United States
Christofer Edling Sweden
Lee Sailer United States
Manfred Kochen United States
Pascal Pons France
Piotr Sapieżyński United States
Ramine Tinati United Kingdom
Sandra González‐Bailón United States
Scott Weingart United States
John Nerbonne Netherlands
Lisa Singh relative to Timothy D. Bowman United States Timothy D. Bowman's profile →
Citations per field
00.5×10×15×20×23.7×
Timothy D. Bowman · 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-authorship network

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
#Work
1 20251
2 20242
3 20241
4 20242
5 20233
6 20233
7 20231
8 20221
9 20222
10 202154
11 20216
12 20200
13
#MeToo as Catalyst: A Glimpse into 21st Century Activism
20197
14 20199
15
Safelog: Supporting Web Search and Mining by Differentially-Private Query Logs.
20163
16 20167
17
Increased Information Leakage from Text
201412
18
Using Large-scale Open Source Data to Identify Potential Forced Migration
20142
19 20118
20
Increasing the Predictive Power of Affiliation Networks.
20074

About Lisa Singh

Lisa Singh is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Communication, General Social Sciences and Developmental Biology, having authored 88 papers that have together received 982 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (24 papers), Privacy-Preserving Technologies in Data (17 papers), Topic Modeling (10 papers), Misinformation and Its Impacts (10 papers), Spam and Phishing Detection (9 papers), Opinion Dynamics and Social Influence (9 papers), Social Media and Politics (6 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 (157 citations), Artificial Intelligence (335 citations) and Health (88 citations). Lisa Singh has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Kornraphop Kawintiranon, Janet Mann, Eric M. Patterson, Elisa Jayne Bienenstock, Margaret A. Stanton, 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, Nature Communications, Contemporary French and Francophone Studies and International Migration Review.

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.

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