Savas Konur

87 total papers · 1.1k total citations
52 papers, 504 citations indexed

About

Savas Konur is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Savas Konur has authored 52 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 17 papers in Computational Theory and Mathematics and 11 papers in Artificial Intelligence. Recurrent topics in Savas Konur's work include DNA and Biological Computing (16 papers), Formal Methods in Verification (13 papers) and Gene Regulatory Network Analysis (10 papers). Savas Konur is often cited by papers focused on DNA and Biological Computing (16 papers), Formal Methods in Verification (13 papers) and Gene Regulatory Network Analysis (10 papers). Savas Konur collaborates with scholars based in United Kingdom, Romania and Germany. Savas Konur's co-authors include Michael Fisher, Marian Gheorghe, Clare Dixon, Y. Lan, Florentin Ipate, Dhavalkumar Thakker, Sven Schewe, Natalio Krasnogor, Irfan Awan and Raluca Lefticaru and has published in prestigious journals such as Bioinformatics, IEEE Access and Information Sciences.

In The Last Decade

Savas Konur

48 papers receiving 484 citations

Author Peers

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

Author						Papers	Cites
Savas Konur	219	159	105	91	71	52	504
Bo Wu	34 0.2×	148 0.9×	27 0.3×	179 2.0×	41 0.6×	60	561
Pekka Kilpeläinen	37 0.2×	99 0.6×	36 0.3×	229 2.5×	15 0.2×	32	523
Daniel Clancy	24 0.1×	85 0.5×	59 0.6×	286 3.1×	87 1.2×	61	603
Ramgopal R. Mettu	79 0.4×	89 0.6×	25 0.2×	168 1.8×	7 0.1×	39	573
Apurva Narayan	70 0.3×	26 0.2×	30 0.3×	104 1.1×	19 0.3×	57	473
Michele Loreti	25 0.1×	174 1.1×	89 0.8×	267 2.9×	61 0.9×	66	506
Franciszek Seredyński	78 0.4×	183 1.2×	23 0.2×	201 2.2×	6 0.1×	70	507
Bingru Yang	89 0.4×	172 1.1×	47 0.4×	236 2.6×	4 0.1×	84	521
S.I. Ahson	56 0.3×	114 0.7×	11 0.1×	102 1.1×	15 0.2×	52	481
José Luis Flores	34 0.2×	19 0.1×	46 0.4×	174 1.9×	29 0.4×	28	498

Countries citing papers authored by Savas Konur

Since Specialization

Citations

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

Fields of papers citing papers by Savas Konur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Savas Konur

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