Manoop Talasila

21 total papers · 563 total citations
13 papers, 379 citations indexed

About

Manoop Talasila is a scholar working on Computer Science Applications, Transportation and Electrical and Electronic Engineering. According to data from OpenAlex, Manoop Talasila has authored 13 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Science Applications, 6 papers in Transportation and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Manoop Talasila's work include Mobile Crowdsensing and Crowdsourcing (8 papers), Indoor and Outdoor Localization Technologies (6 papers) and Human Mobility and Location-Based Analysis (6 papers). Manoop Talasila is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (8 papers), Indoor and Outdoor Localization Technologies (6 papers) and Human Mobility and Location-Based Analysis (6 papers). Manoop Talasila collaborates with scholars based in United States and Italy. Manoop Talasila's co-authors include Reza Curtmola, Cristian Borcea, Antonio Corradi, Luca Foschini, Paolo Bellavista, Giuseppe Cardone, Cristian Borcea, Guy Jacobson, Rittwik Jana and Xiaopeng Jiang and has published in prestigious journals such as IEEE Communications Magazine, IEEE Pervasive Computing and Pervasive and Mobile Computing.

In The Last Decade

Manoop Talasila

11 papers receiving 366 citations

Author Peers

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

Author Last Decade Papers Cites
Manoop Talasila 219 171 129 104 97 13 379
Cristian Borcea 194 0.9× 154 0.9× 150 1.2× 197 1.9× 66 0.7× 19 441
Martina Marjanović 185 0.8× 108 0.6× 107 0.8× 209 2.0× 73 0.8× 12 420
Maryam Pouryazdan 237 1.1× 116 0.7× 81 0.6× 121 1.2× 168 1.7× 12 407
Zipeng Dai 158 0.7× 66 0.4× 83 0.6× 134 1.3× 72 0.7× 13 361
Krešimir Pripužić 128 0.6× 85 0.5× 69 0.5× 213 2.0× 73 0.8× 26 413
Francesco Restuccia 255 1.2× 122 0.7× 68 0.5× 53 0.5× 141 1.5× 10 334
Tomáš Gerlich 91 0.4× 227 1.3× 113 0.9× 76 0.7× 37 0.4× 10 367
Yurong Jiang 58 0.3× 56 0.3× 150 1.2× 216 2.1× 70 0.7× 12 413
Yaoqi Yang 72 0.3× 49 0.3× 101 0.8× 183 1.8× 118 1.2× 26 425
Terry H. S. Chu 86 0.4× 73 0.4× 98 0.8× 178 1.7× 68 0.7× 7 332

Countries citing papers authored by Manoop Talasila

Since Specialization
Citations

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

Fields of papers citing papers by Manoop Talasila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manoop Talasila

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