Nikos Sarkas

656 total citations
11 papers, 392 citations indexed

About

Nikos Sarkas is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Nikos Sarkas has authored 11 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 5 papers in Computer Networks and Communications and 5 papers in Information Systems. Recurrent topics in Nikos Sarkas's work include Data Management and Algorithms (8 papers), Advanced Database Systems and Queries (3 papers) and Data Mining Algorithms and Applications (3 papers). Nikos Sarkas is often cited by papers focused on Data Management and Algorithms (8 papers), Advanced Database Systems and Queries (3 papers) and Data Mining Algorithms and Applications (3 papers). Nikos Sarkas collaborates with scholars based in Canada, United States and Greece. Nikos Sarkas's co-authors include Nick Koudas, Albert Angel, Divesh Srivastava, Gautam Das, Dimitrios Gunopulos, Stelios Paparizos, Panayiotis Tsaparas, Michael Svendsen, Srikanta Tirthapura and Spiros Skiadopoulos and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and The VLDB Journal.

In The Last Decade

Nikos Sarkas

11 papers receiving 372 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nikos Sarkas Canada	10	196	173	170	124	107	11	392
Albert Angel Canada	7	109 0.6×	95 0.5×	138 0.8×	93 0.8×	113 1.1×	7	297
Wentao Tian Hong Kong	5	94 0.5×	170 1.0×	231 1.4×	97 0.8×	255 2.4×	6	464
David Fuhry United States	9	153 0.8×	144 0.8×	94 0.6×	71 0.6×	45 0.4×	11	290
Shiyu Yang China	11	150 0.8×	122 0.7×	171 1.0×	38 0.3×	93 0.9×	38	369
Zhenying He China	9	73 0.4×	114 0.7×	211 1.2×	66 0.5×	83 0.8×	52	364
Alessandro Roncato Italy	9	149 0.8×	142 0.8×	62 0.4×	49 0.4×	33 0.3×	20	275
Eirinaios Michelakis United States	7	115 0.6×	127 0.7×	144 0.8×	63 0.5×	46 0.4×	9	251
Gabriela Jacques-Silva United States	12	67 0.3×	306 1.8×	149 0.9×	142 1.1×	128 1.2×	21	450
Richard A. Hankins United States	8	115 0.6×	238 1.4×	215 1.3×	111 0.9×	139 1.3×	8	480
Arvind Hulgeri India	4	373 1.9×	401 2.3×	275 1.6×	246 2.0×	33 0.3×	7	556

Countries citing papers authored by Nikos Sarkas

Since Specialization

Citations

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

Fields of papers citing papers by Nikos Sarkas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikos Sarkas

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

All Works

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11 of 11 papers shown

1.

Angel, Albert, Nick Koudas, Nikos Sarkas, et al.. (2013). Dense subgraph maintenance under streaming edge weight updates for real-time story identification. The VLDB Journal. 23(2). 175–199. 75 indexed citations

2.

Angel, Albert, Nikos Sarkas, Nick Koudas, & Divesh Srivastava. (2012). Dense subgraph maintenance under streaming edge weight updates for real-time story identification. Proceedings of the VLDB Endowment. 5(6). 574–585. 100 indexed citations

3.

Sarkas, Nikos, Albert Angel, Nick Koudas, & Divesh Srivastava. (2010). Efficient identification of coupled entities in document collections. 19. 769–772. 10 indexed citations

4.

Sarkas, Nikos, Stelios Paparizos, & Panayiotis Tsaparas. (2010). Structured annotations of web queries. 771–782. 44 indexed citations

5.

Sarkas, Nikos, Gautam Das, & Nick Koudas. (2009). Improved search for socially annotated data. Proceedings of the VLDB Endowment. 2(1). 778–789. 6 indexed citations

6.

Angel, Albert, Nick Koudas, Nikos Sarkas, & Divesh Srivastava. (2009). What's on the grapevine?. 1047–1050. 14 indexed citations

7.

Sarkas, Nikos, Nilesh Bansal, Gautam Das, & Nick Koudas. (2009). Measure-driven keyword-query expansion. Proceedings of the VLDB Endowment. 2(1). 121–132. 22 indexed citations

8.

Sarkas, Nikos, Gautam Das, Nick Koudas, & Anthony K. H. Tung. (2008). Categorical skylines for streaming data. National University of Singapore. 239–250. 27 indexed citations

9.

Das, Gautam, Dimitrios Gunopulos, Nick Koudas, & Nikos Sarkas. (2007). Ad-hoc top-k query answering for data streams. Very Large Data Bases. 183–194. 60 indexed citations

10.

Skiadopoulos, Spiros, Nikos Sarkas, Timos Sellis, & Manolis Koubarakis. (2007). A Family of Directional Relation Models for Extended Objects. IEEE Transactions on Knowledge and Data Engineering. 19(8). 1116–1130. 17 indexed citations

11.

Skiadopoulos, Spiros, et al.. (2005). Computing and managing cardinal direction relations. IEEE Transactions on Knowledge and Data Engineering. 17(12). 1610–1623. 17 indexed citations

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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