Sameena Shah

1.4k citations
50 papers · 962 · 1 hit paper · h-index 15

Impact in

Papers in

    • Topic Modeling 17
    • Advanced Text Analysis Techniques 15
    • Sentiment Analysis and Opinion Mining 7
    • Natural Language Processing Techniques 7
    • Metaheuristic Optimization Algorithms Research 4
    • Complex Network Analysis Techniques 7

Sameena Shah

49 papers receiving 908 citations

Sameena Shah's Hit Papers

Real-time Rumor Debunking on Twitter 2015 · 293 citations
2930+3+7Years since publication50100150200250

Peers

Sameena Shah
Comparison fields: 5 of 84
  • Statistical and Nonlinear Physics 248
  • Artificial Intelligence 511
  • Information Systems 269
  • Communication 74
  • Management Science and Operations Research 113
Replace Armineh Nourbakhsh with:
Armineh Nourbakhsh United States
Ilia Vovsha United States
Boyi Xie United States
Lei Hou China
Shady Elbassuoni Lebanon
Philipp Singer Germany
Hassan Saif United Kingdom
Ajita John United States
Liang Wu United States
Paramveer S. Dhillon United States
Sameena Shah relative to Armineh Nourbakhsh United States Armineh Nourbakhsh's profile →
Citations per field
00.5×2×3.3×
Armineh Nourbakhsh · 1×
Citations per year

Countries citing papers authored by Sameena Shah

Since Specialization
Citations

This map shows the geographic impact of Sameena Shah'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 Sameena Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameena Shah more than expected).

Fields of papers citing papers by Sameena Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sameena Shah. 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 Sameena Shah. The network helps show where Sameena Shah may publish in the future.

Co-authors

The 25 scholars most cited alongside Sameena Shah, 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 Sameena Shah Line = papers co-authored together Sameena Shah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Real-time Rumor Debunking on Twitter
Hit paper breakdown →
2015293
2 201366
3 201652
4 201744
5 201744
6 202340
7 201739
8 202232
9 201630
10 201728
11 202127
12 201626
13 202125
14 201624
15 201316
16
Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training
202115
17 201614
18 201614
19 201813
20 202312

About Sameena Shah

Sameena Shah is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Management Science and Operations Research, Information Systems and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 962 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Advanced Text Analysis Techniques (15 papers), Sentiment Analysis and Opinion Mining (7 papers), Natural Language Processing Techniques (7 papers), Complex Network Analysis Techniques (7 papers), Stock Market Forecasting Methods (6 papers), Misinformation and Its Impacts (6 papers) and Metaheuristic Optimization Algorithms Research (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (248 citations), Artificial Intelligence (511 citations), Information Systems (269 citations), Communication (74 citations) and Management Science and Operations Research (113 citations). Sameena Shah has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Quanzhi Li, Xiaomo Liu, Armineh Nourbakhsh, Rui Fang, Masoud Makrehchi, Wenhui Liao, Robert Martin, Suresh Chandra, Manuela Veloso and Ravi Kothari. Their work appears in journals such as Swarm Intelligence, New Directions for Child and Adolescent Development, Oxford Review of Economic Policy, Pattern Recognition and Kidney International Reports.

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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