Umesh Patil
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 5%
- Developmental and Educational Psychology top 5%
- Experimental and Cognitive Psychology top 10%
- Language and Linguistics top 5%
- Co-authors
- Shravan VasishthJohn HaleReinhold KlieglMarisa Ferrara BostonRichard L. LewisGerrit KentnerCaroline FéryStefan Hinterwimmer
- Topics
- Neurobiology of Language and Bilingualism (7 papers)Reading and Literacy Development (4 papers)Second Language Acquisition and Learning (3 papers)
- Partner nations
- GermanyUnited States
In The Last Decade
Umesh Patil
13 papers receiving 363 citations
Peers
Comparison fields: 5 of 19
- Cognitive Neuroscience 255
- Artificial Intelligence 215
- Developmental and Educational Psychology 208
- Experimental and Cognitive Psychology 101
- Language and Linguistics 82
Countries citing papers authored by Umesh Patil
This map shows the geographic impact of Umesh Patil'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 Umesh Patil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umesh Patil more than expected).
Fields of papers citing papers by Umesh Patil
This network shows the impact of papers produced by Umesh Patil. 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 Umesh Patil. The network helps show where Umesh Patil may publish in the future.
Co-authorship network of co-authors of Umesh Patil
This figure shows the co-authorship network connecting the top 25 collaborators of Umesh Patil. A scholar is included among the top collaborators of Umesh Patil 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 Umesh Patil. Umesh Patil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | How antecedent retrieval influences prediction: a cue-based retrieval model | 0 |
| 7 | 12 | |
| 8 | 2 | |
| 9 | Retrieval interference in syntactic processing | 0 |
| 10 | 0 | |
| 11 | 44 | |
| 12 | 26 | |
| 13 | An evaluation of a cognitive architecture of sentence processing : computational and empirical assessment | 1 |
| 14 | 3 | |
| 15 | Early retrieval interference in syntax-guided antecedent search | 6 |
| 16 | Parsing costs as predictors of reading difficulty: An evaluation using the Potsdam Sentence Corpus | 82 |
| 17 | Focus, Word Order and Intonation in Hindi | 60 |
| 18 | 151 |
About Umesh Patil
Umesh Patil is a scholar working on Language and Linguistics, Developmental and Educational Psychology and Linguistics and Language, having authored 18 papers that have together received 394 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (7 papers), Reading and Literacy Development (4 papers) and Second Language Acquisition and Learning (3 papers). The work is most often cited by research in Developmental and Educational Psychology (208 citations), Cognitive Neuroscience (255 citations) and Language and Linguistics (82 citations). Umesh Patil has collaborated with scholars based in Germany and United States. Frequent co-authors include Shravan Vasishth, John Hale, Reinhold Kliegl, Marisa Ferrara Boston, Richard L. Lewis, Gerrit Kentner, Caroline Féry, Stefan Hinterwimmer, Ria De Bleser and Frank Burchert. Their work appears in journals such as Frontiers in Psychology, Journal of Memory and Language and Cognitive Science.
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.