Manoj Syamala

38 total papers · 780 total citations
23 papers, 383 citations indexed

About

Manoj Syamala is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Manoj Syamala has authored 23 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 12 papers in Information Systems and 7 papers in Signal Processing. Recurrent topics in Manoj Syamala's work include Advanced Database Systems and Queries (8 papers), Cloud Computing and Resource Management (7 papers) and Distributed systems and fault tolerance (6 papers). Manoj Syamala is often cited by papers focused on Advanced Database Systems and Queries (8 papers), Cloud Computing and Resource Management (7 papers) and Distributed systems and fault tolerance (6 papers). Manoj Syamala collaborates with scholars based in United States, United Kingdom and India. Manoj Syamala's co-authors include Vivek Narasayya, Sudipto Das, Surajit Chaudhuri, Feng Li, Sanjay Agrawal, A. Marathe, Ľubor Kollár, Badrish Chandramouli, Li Feng and Hyun-Jung Park and has published in prestigious journals such as Proceedings of the VLDB Endowment, Very Large Data Bases and Proceedings - International Conference on Data Engineering.

In The Last Decade

Manoj Syamala

23 papers receiving 368 citations

Author Peers

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

Author						Papers	Cites
Manoj Syamala	327	263	71	68	37	23	383
Bhushan Jain	274 0.8×	285 1.1×	197 2.8×	133 2.0×	82 2.2×	14	411
Matthew Merzbacher	294 0.9×	123 0.5×	140 2.0×	42 0.6×	43 1.2×	17	362
Rebecca Taft	374 1.1×	276 1.0×	52 0.7×	52 0.8×	42 1.1×	10	413
Sumeer Bhola	291 0.9×	181 0.7×	125 1.8×	59 0.9×	45 1.2×	23	409
İstemi Ekin Akkuş	325 1.0×	256 1.0×	114 1.6×	35 0.5×	31 0.8×	20	435
Stefano Iannucci	278 0.9×	215 0.8×	126 1.8×	69 1.0×	16 0.4×	25	363
Daniel Lieuwen	280 0.9×	170 0.6×	104 1.5×	89 1.3×	42 1.1×	28	397
Shivakumar Venkataraman	344 1.1×	144 0.5×	74 1.0×	80 1.2×	69 1.9×	17	372
Mohammed H. Sqalli	381 1.2×	213 0.8×	196 2.8×	113 1.7×	39 1.1×	33	445
Nilton Bila	318 1.0×	304 1.2×	45 0.6×	31 0.5×	38 1.0×	23	412

Countries citing papers authored by Manoj Syamala

Since Specialization

Citations

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

Fields of papers citing papers by Manoj Syamala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manoj Syamala

This figure shows the co-authorship network connecting the top 25 collaborators of Manoj Syamala. A scholar is included among the top collaborators of Manoj Syamala 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 Manoj Syamala. Manoj Syamala 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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