Anish Nair
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Mechanical Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Leonardo NeumeyerBruce RobbinsS. KumananManisha MadkaikarFarah JijinaL. SelvarajanChander PrakashKanjaksha Ghosh
- Topics
- Advanced machining processes and optimization (15 papers)Advanced Machining and Optimization Techniques (13 papers)Advanced Surface Polishing Techniques (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodExpert Systems with Applications
- Partner nations
- IndiaUnited StatesSlovenia
In The Last Decade
Anish Nair
44 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Computer Networks and Communications 461
- Information Systems 381
- Artificial Intelligence 214
- Mechanical Engineering 205
- Electrical and Electronic Engineering 161
Countries citing papers authored by Anish Nair
This map shows the geographic impact of Anish Nair'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 Anish Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anish Nair more than expected).
Fields of papers citing papers by Anish Nair
This network shows the impact of papers produced by Anish Nair. 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 Anish Nair. The network helps show where Anish Nair may publish in the future.
Co-authorship network of co-authors of Anish Nair
This figure shows the co-authorship network connecting the top 25 collaborators of Anish Nair. A scholar is included among the top collaborators of Anish Nair 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 Anish Nair. Anish Nair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 13 | |
| 4 | 15 | |
| 5 | 29 | |
| 6 | 36 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 7 | |
| 17 | 17 | |
| 18 | 64 | |
| 19 | Expressions Related to Knowledge and Belief in Children’s Speech | 1 |
| 20 | Literary Evidence for the Cultural Development of a Theory of Mind | 3 |
About Anish Nair
Anish Nair is a scholar working on Ecological Modeling, Mechanical Engineering and Hematology, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (15 papers), Advanced Machining and Optimization Techniques (13 papers) and Advanced Surface Polishing Techniques (12 papers). The work is most often cited by research in Computer Networks and Communications (461 citations), Information Systems (381 citations) and Ecological Modeling (70 citations). Anish Nair has collaborated with scholars based in India, United States and Slovenia. Frequent co-authors include Leonardo Neumeyer, Bruce Robbins, S. Kumanan, Manisha Madkaikar, Farah Jijina, L. Selvarajan, Chander Prakash, Kanjaksha Ghosh, Kenji Yamada and Kevin Knight. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Expert Systems with Applications.
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.