Ananya Ganesh

1.2k total citations · 1 hit paper
11 papers, 366 citations indexed

About

Ananya Ganesh is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Communication. According to data from OpenAlex, Ananya Ganesh has authored 11 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Developmental and Educational Psychology and 1 paper in Communication. Recurrent topics in Ananya Ganesh's work include Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Innovative Teaching and Learning Methods (2 papers). Ananya Ganesh is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Innovative Teaching and Learning Methods (2 papers). Ananya Ganesh collaborates with scholars based in United States, Israel and Germany. Ananya Ganesh's co-authors include Andrew McCallum, Emma Strubell, Katharina Kann, Sidney K. D’Mello, Martha Palmer, Vinay K. Aggarwal, Goran Glavaš, Philip R. Kennedy, Peter W. Foltz and Jason G. Reitman and has published in prestigious journals such as Frontiers in Human Neuroscience, npj Digital Medicine and MADOC (University of Mannheim).

In The Last Decade

Ananya Ganesh

10 papers receiving 356 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Energy and Policy Considerations for Modern Deep Learning Research

2020 323 citations Emma Strubell, Ananya Ganesh et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ananya Ganesh United States	5	149	82	45	34	29	11	366
Konrad Wojtasik Poland	3	252 1.7×	48 0.6×	30 0.7×	31 0.9×	27 0.9×	3	442
Mingjie Zhu China	10	102 0.7×	30 0.4×	34 0.8×	59 1.7×	19 0.7×	19	376
Junyoung Byun South Korea	10	135 0.9×	43 0.5×	44 1.0×	40 1.2×	7 0.2×	29	302
Marjan Kaedi Iran	13	100 0.7×	43 0.5×	33 0.7×	92 2.7×	25 0.9×	33	386
Daniel Braun Germany	10	209 1.4×	46 0.6×	46 1.0×	43 1.3×	7 0.2×	53	426
Nor Azura Md Ghani Malaysia	9	107 0.7×	43 0.5×	57 1.3×	52 1.5×	10 0.3×	74	369
Ronan Hamon France	9	151 1.0×	18 0.2×	30 0.7×	30 0.9×	78 2.7×	21	376
Tarek R. Besold Germany	12	450 3.0×	23 0.3×	61 1.4×	38 1.1×	56 1.9×	42	661
Waddah Saeed Malaysia	4	254 1.7×	15 0.2×	33 0.7×	26 0.8×	20 0.7×	5	423
Anu Gokhale United States	11	100 0.7×	18 0.2×	26 0.6×	44 1.3×	18 0.6×	32	401

Countries citing papers authored by Ananya Ganesh

Since Specialization

Citations

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

Fields of papers citing papers by Ananya Ganesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ananya Ganesh

This figure shows the co-authorship network connecting the top 25 collaborators of Ananya Ganesh. A scholar is included among the top collaborators of Ananya Ganesh 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 Ananya Ganesh. Ananya Ganesh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Xenochristou, Maria, Malathi Srinivasan, Maja Artandi, et al.. (2024). Hospitalization prediction from the emergency department using computer vision AI with short patient video clips. npj Digital Medicine. 7(1). 371–371. 2 indexed citations

2.

Ganesh, Ananya, Martha Palmer, & Katharina Kann. (2023). A Survey of Challenges and Methods in the Computational Modeling of Multi-Party Dialog. 140–154. 4 indexed citations

3.

Cao, Jie, Ananya Ganesh, Rosy Southwell, et al.. (2023). A Comparative Analysis of Automatic Speech Recognition Errors in Small Group Classroom Discourse. 250–262. 9 indexed citations

4.

Chandler, Chelsea, Peter W. Foltz, Ananya Ganesh, et al.. (2023). The Community Builder (CoBi): Helping Students to Develop Better Small Group Collaborative Learning Skills. 376–380. 10 indexed citations

5.

Ganesh, Ananya, et al.. (2023). Mind the Gap between the Application Track and the Real World. 1833–1842.

6.

Aggarwal, Vinay K., et al.. (2022). Text Simplification for Legal Domain: Insights and Challenges. 296–304. 4 indexed citations

7.

Ganesh, Ananya, et al.. (2022). Response Construct Tagging: NLP-Aided Assessment for Engineering Education. 250–261. 5 indexed citations

8.

Ganesh, Ananya, et al.. (2022). Slow Firing Single Units Are Essential for Optimal Decoding of Silent Speech. Frontiers in Human Neuroscience. 16. 874199–874199. 4 indexed citations

9.

Bhatnagar, Rajat, Ananya Ganesh, & Katharina Kann. (2022). CHIA: CHoosing Instances to Annotate for Machine Translation. 7299–7315. 2 indexed citations

10.

Glavaš, Goran, Ananya Ganesh, & Swapna Somasundaran. (2021). Training and domain adaptation for supervised text segmentation. MADOC (University of Mannheim). 110–116. 3 indexed citations

11.

Strubell, Emma, Ananya Ganesh, & Andrew McCallum. (2020). Energy and Policy Considerations for Modern Deep Learning Research. Proceedings of the AAAI Conference on Artificial Intelligence. 34(9). 13693–13696. 323 indexed citations breakdown →

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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