Gunes Ercal

443 total citations
19 papers, 224 citations indexed

About

Gunes Ercal is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Gunes Ercal has authored 19 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistical and Nonlinear Physics, 5 papers in Computer Networks and Communications and 4 papers in Molecular Biology. Recurrent topics in Gunes Ercal's work include Complex Network Analysis Techniques (10 papers), Mobile Ad Hoc Networks (4 papers) and Bioinformatics and Genomic Networks (3 papers). Gunes Ercal is often cited by papers focused on Complex Network Analysis Techniques (10 papers), Mobile Ad Hoc Networks (4 papers) and Bioinformatics and Genomic Networks (3 papers). Gunes Ercal collaborates with scholars based in United States, Türkiye and Sweden. Gunes Ercal's co-authors include Chen Avin, Michael S. Vitevitch, Tayo Obafemi-Ajayi, Koushik Sinha, Donald C. Wunsch, Rupak Majumdar, Adam Meyerson, Wenping Qiu, Yontao Lu and Susanne Howard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Applied Sciences.

In The Last Decade

Gunes Ercal

17 papers receiving 214 citations

Peers

Gunes Ercal
Gunes Ercal
Citations per year, relative to Gunes Ercal Gunes Ercal (= 1×) peers Jiachen Ye

Countries citing papers authored by Gunes Ercal

Since Specialization
Citations

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

Fields of papers citing papers by Gunes Ercal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gunes Ercal

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

All Works

19 of 19 papers shown
2.
Ercal, Gunes, et al.. (2024). Comparative analysis of course prerequisite networks for five Midwestern public institutions. Applied Network Science. 9(1). 3 indexed citations
3.
Ercal, Gunes, et al.. (2019). Comparing the speed and accuracy of approaches to betweenness centrality approximation. SHILAP Revista de lepidopterología. 6(1). 12 indexed citations
4.
Howard, Susanne, et al.. (2018). Analysis of grapevine gene expression data using node-based resilience clustering. BearWorks (Missouri State University). 13. 1–8. 5 indexed citations
5.
Ercal, Gunes, et al.. (2018). Applications of node-based resilience graph theoretic framework to clustering autism spectrum disorders phenotypes. Applied Network Science. 3(1). 38–38. 15 indexed citations
6.
Obafemi-Ajayi, Tayo, et al.. (2018). Node-Based Resilience Measure Clustering with Applications to Noisy and Overlapping Communities in Complex Networks. Applied Sciences. 8(8). 1307–1307. 9 indexed citations
7.
Elhaik, Eran, Mehdi Pirooznia, Gunes Ercal, et al.. (2017). The Diversity of REcent and Ancient huMan (DREAM): A New Microarray for Genetic Anthropology and Genealogy, Forensics, and Personalized Medicine. Genome Biology and Evolution. 9(12). 3225–3237. 7 indexed citations
8.
Ercal, Gunes, et al.. (2017). The vertex attack tolerance of complex networks. RAIRO - Operations Research. 51(4). 1055–1076. 9 indexed citations
9.
Ercal, Gunes, et al.. (2017). Applications of novel graph theoretic methods to clustering autism spectrum disorders phenotypes. BearWorks (Missouri State University). 1 indexed citations
10.
Obafemi-Ajayi, Tayo, et al.. (2016). Robust Graph-Theoretic Clustering Approaches Using Node-Based Resilience Measures. 320–329. 11 indexed citations
11.
Obafemi-Ajayi, Tayo, et al.. (2015). A Graph-Theoretic Clustering Methodology Based on Vertex-Attack Tolerance. BearWorks (Missouri State University). 404–409. 4 indexed citations
13.
Ercal, Gunes, et al.. (2013). Resilience Notions for Scale-free Networks. Procedia Computer Science. 20. 510–515. 12 indexed citations
14.
Ercal, Gunes, et al.. (2013). On the Quality of Sampling from Geographic Networks. Procedia Computer Science. 20. 522–527.
15.
Ercal, Gunes. (2012). More Benefits of Adding Sparse Random Links to Wireless Networks: Yet Another Case for Hybrid Networks. International Journal of Distributed Sensor Networks. 8(6). 361621–361621. 2 indexed citations
16.
Vitevitch, Michael S., et al.. (2011). Simulating Retrieval from a Highly Clustered Network: Implications for Spoken Word Recognition. Frontiers in Psychology. 2. 369–369. 50 indexed citations
17.
Ercal, Gunes, et al.. (2011). VCG with Communities on Random Ad Hoc Networks. International Journal of Distributed Sensor Networks. 7(1). 895398–895398. 7 indexed citations
18.
Avin, Chen & Gunes Ercal. (2007). On the cover time and mixing time of random geometric graphs. Theoretical Computer Science. 380(1-2). 2–22. 63 indexed citations
19.
Avin, Chen & Gunes Ercal. (2005). Bounds on the mixing time and partial cover of ad-hoc and sensor networks. 1–12. 12 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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