Manish Singh
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Graphics and Computer-Aided Design top 2%
- Computational Mechanics top 10%
- Cognitive Neuroscience
- Co-authors
- Adam FinkelsteinAdrian SecordAndrew NealenJingwan LuNagendra KumarSzymon RusinkiewiczThomas FunkhouserDoug DeCarlo
- Topics
- Sentiment Analysis and Opinion Mining (7 papers)Data Management and Algorithms (4 papers)Complex Network Analysis Techniques (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPsychological ReviewACM Transactions on Graphics
- Partner nations
- IndiaUnited StatesNetherlands
In The Last Decade
Manish Singh
33 papers receiving 440 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 224
- Artificial Intelligence 105
- Computer Graphics and Computer-Aided Design 102
- Computational Mechanics 87
- Cognitive Neuroscience 44
Countries citing papers authored by Manish Singh
This map shows the geographic impact of Manish 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 Manish Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Singh more than expected).
Fields of papers citing papers by Manish Singh
This network shows the impact of papers produced by Manish 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 Manish Singh. The network helps show where Manish Singh may publish in the future.
Co-authorship network of co-authors of Manish Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Manish Singh. A scholar is included among the top collaborators of Manish Singh 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 Manish Singh. Manish Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 11 | |
| 17 | 13 | |
| 18 | 10 | |
| 19 | The Encoding of Spatial Information During Small-Set Enumeration | 2 |
| 20 | 132 |
About Manish Singh
Manish Singh is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 39 papers that have together received 461 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (7 papers), Data Management and Algorithms (4 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (102 citations), Computer Vision and Pattern Recognition (224 citations) and Geology (25 citations). Manish Singh has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Adam Finkelstein, Adrian Secord, Andrew Nealen, Jingwan Lu, Nagendra Kumar, Szymon Rusinkiewicz, Thomas Funkhouser, Doug DeCarlo, Forrester Cole and H. V. Jagadish. Their work appears in journals such as SHILAP Revista de lepidopterología, Psychological Review and ACM Transactions on Graphics.
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.