Manisha Verma

760 total citations
28 papers, 410 citations indexed

About

Manisha Verma is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Manisha Verma has authored 28 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 13 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Manisha Verma's work include Topic Modeling (10 papers), Information Retrieval and Search Behavior (10 papers) and Advanced Text Analysis Techniques (8 papers). Manisha Verma is often cited by papers focused on Topic Modeling (10 papers), Information Retrieval and Search Behavior (10 papers) and Advanced Text Analysis Techniques (8 papers). Manisha Verma collaborates with scholars based in United States, United Kingdom and India. Manisha Verma's co-authors include Neelam Bhardwaj, Arun Kumar Yadav, Nick Craswell, Emine Yılmaz, Debasis Ganguly, Filip Radlinski, Yuta Nakashima, Hajime Nagahara, Liangzhi Li and Bowen Wang and has published in prestigious journals such as Applied Intelligence, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Data Archiving and Networked Services (DANS).

In The Last Decade

Manisha Verma

25 papers receiving 392 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Manisha Verma United States 10 220 171 101 84 38 28 410
Hanwen Liu China 7 159 0.7× 108 0.6× 80 0.8× 47 0.6× 20 0.5× 25 302
Hatem Abdul-Kader Egypt 10 166 0.8× 61 0.4× 95 0.9× 40 0.5× 38 1.0× 49 333
Zhao Cao China 10 200 0.9× 214 1.3× 61 0.6× 109 1.3× 23 0.6× 46 425
Ziqi Liu China 7 264 1.2× 132 0.8× 29 0.3× 87 1.0× 24 0.6× 26 354
Tao Dai China 14 379 1.7× 261 1.5× 43 0.4× 47 0.6× 12 0.3× 23 502
Renwan Bi China 8 190 0.9× 69 0.4× 67 0.7× 59 0.7× 60 1.6× 14 312
Gökay Saldamlı United States 10 133 0.6× 175 1.0× 107 1.1× 39 0.5× 44 1.2× 37 324
Wenkui Ding China 8 151 0.7× 86 0.5× 61 0.6× 157 1.9× 23 0.6× 9 368
In-Ho Kang South Korea 6 294 1.3× 170 1.0× 53 0.5× 83 1.0× 7 0.2× 20 419

Countries citing papers authored by Manisha Verma

Since Specialization
Citations

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

Fields of papers citing papers by Manisha Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manisha Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Manisha Verma. A scholar is included among the top collaborators of Manisha Verma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manisha Verma. Manisha Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Anand, Avishek, et al.. (2023). Explainable Information Retrieval. Research Repository (Delft University of Technology). 3448–3451. 4 indexed citations
2.
Ganguly, Debasis, et al.. (2022). Measuring and Comparing the Consistency of IR Models for Query Pairs with Similar and Different Information Needs. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 4449–4453. 4 indexed citations
3.
Li, Liangzhi, Bowen Wang, Manisha Verma, et al.. (2021). SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1026–1035. 31 indexed citations
4.
Wang, Bowen, Liangzhi Li, Manisha Verma, et al.. (2021). MTUNet: Few-shot Image Classification with Visual Explanations. 2294–2298. 23 indexed citations
5.
6.
7.
Ganguly, Debasis, et al.. (2020). The Curious Case of IR Explainability: Explaining Document Scores within and across Ranking Models. 2069–2072. 6 indexed citations
8.
Verma, Manisha, et al.. (2020). Learning to Create Better Ads. 2653–2660. 14 indexed citations
9.
Verma, Manisha & Debasis Ganguly. (2019). LIRME. 1281–1284. 34 indexed citations
10.
Verma, Manisha, Emine Yılmaz, & Nick Craswell. (2018). Study of Relevance and Effort across Devices. 309–312. 2 indexed citations
11.
Dietz, Laura, Manisha Verma, Filip Radlinski, & Nick Craswell. (2017). TREC Complex Answer Retrieval Overview.. Text REtrieval Conference. 39 indexed citations
12.
Verma, Manisha, Emine Yılmaz, Rishabh Mehrotra, et al.. (2016). Overview of the TREC Tasks Track 2016.. Text REtrieval Conference. 3 indexed citations
13.
Verma, Manisha, Neelam Bhardwaj, & Arun Kumar Yadav. (2016). Real Time Efficient Scheduling Algorithm for Load Balancing in Fog Computing Environment. International Journal of Information Technology and Computer Science. 8(4). 1–10. 101 indexed citations
14.
Verma, Manisha, Emine Yılmaz, & Nick Craswell. (2016). On Obtaining Effort Based Judgements for Information Retrieval. 277–286. 17 indexed citations
15.
Yılmaz, Emine, Manisha Verma, Rishabh Mehrotra, et al.. (2015). Overview of the TREC 2015 Tasks Track.. Data Archiving and Networked Services (DANS). 8 indexed citations
16.
Mehrotra, Rishabh, Emine Yılmaz, & Manisha Verma. (2014). Task-Based User Modelling for Personalization via Probabilistic Matrix Factorization.. Conference on Recommender Systems. 4 indexed citations
17.
Verma, Manisha & Diego Ceccarelli. (2014). Bringing Head Closer to the Tail with Entity Linking. ISTI Open Portal. 37–39.
18.
Verma, Manisha & Emine Yılmaz. (2014). Entity Oriented Task Extraction from Query Logs. 1975–1978. 7 indexed citations
19.
Verma, Manisha & Vasudeva Varma. (2011). Patent search using IPC classification vectors. 9–12. 7 indexed citations
20.
Verma, Manisha & Vasudeva Varma. (2011). Exploring Keyphrase Extraction and IPC Classification Vectors for Prior Art Search. 6 indexed citations

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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