Jaynarayan H. Lala

61 total papers · 1.1k total citations
42 papers, 631 citations indexed

About

Jaynarayan H. Lala is a scholar working on Hardware and Architecture, Computer Networks and Communications and Software. According to data from OpenAlex, Jaynarayan H. Lala has authored 42 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Hardware and Architecture, 21 papers in Computer Networks and Communications and 11 papers in Software. Recurrent topics in Jaynarayan H. Lala's work include Distributed systems and fault tolerance (15 papers), Real-Time Systems Scheduling (15 papers) and Software Reliability and Analysis Research (10 papers). Jaynarayan H. Lala is often cited by papers focused on Distributed systems and fault tolerance (15 papers), Real-Time Systems Scheduling (15 papers) and Software Reliability and Analysis Research (10 papers). Jaynarayan H. Lala collaborates with scholars based in United States. Jaynarayan H. Lala's co-authors include T. B. Smith, R.E. Harper, A. L. Hopkins, Fred B. Schneider, John Deyst, Carl E. Landwehr, John F. Meyer, Stuart J. Adams, Asok Ray and J.B. Dugan and has published in prestigious journals such as Proceedings of the IEEE, Communications of the ACM and Computer.

In The Last Decade

Jaynarayan H. Lala

40 papers receiving 569 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jaynarayan H. Lala 404 350 188 131 83 42 631
T. B. Smith 522 1.3× 482 1.4× 133 0.7× 65 0.5× 55 0.7× 22 667
Carles Hernández 289 0.7× 510 1.5× 329 1.8× 69 0.5× 43 0.5× 84 697
Yann-Hang Lee 367 0.9× 321 0.9× 114 0.6× 65 0.5× 54 0.7× 54 615
John F. Meyer 338 0.8× 172 0.5× 106 0.6× 189 1.4× 322 3.9× 47 781
Shyue-Kung Lu 178 0.4× 357 1.0× 406 2.2× 107 0.8× 58 0.7× 97 670
Lin Huang 303 0.8× 326 0.9× 255 1.4× 35 0.3× 22 0.3× 48 635
Marco Paolieri 349 0.9× 564 1.6× 69 0.4× 45 0.3× 91 1.1× 42 750
Alain Girault 285 0.7× 426 1.2× 67 0.4× 51 0.4× 178 2.1× 45 666
Dong Tang 350 0.9× 171 0.5× 260 1.4× 276 2.1× 20 0.2× 34 605
Françoise Simonot‐Lion 290 0.7× 531 1.5× 181 1.0× 41 0.3× 229 2.8× 58 759

Countries citing papers authored by Jaynarayan H. Lala

Since Specialization
Citations

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

Fields of papers citing papers by Jaynarayan H. Lala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaynarayan H. Lala. 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 Jaynarayan H. Lala. The network helps show where Jaynarayan H. Lala may publish in the future.

Co-authorship network of co-authors of Jaynarayan H. Lala

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

All Works

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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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