D. Cukjati

867 total citations
12 papers, 623 citations indexed

About

D. Cukjati is a scholar working on Biomedical Engineering, Biotechnology and Rehabilitation. According to data from OpenAlex, D. Cukjati has authored 12 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 6 papers in Biotechnology and 4 papers in Rehabilitation. Recurrent topics in D. Cukjati's work include Microbial Inactivation Methods (6 papers), Microfluidic and Bio-sensing Technologies (6 papers) and Wound Healing and Treatments (4 papers). D. Cukjati is often cited by papers focused on Microbial Inactivation Methods (6 papers), Microfluidic and Bio-sensing Technologies (6 papers) and Wound Healing and Treatments (4 papers). D. Cukjati collaborates with scholars based in Slovenia, France and Lithuania. D. Cukjati's co-authors include Damijan Miklavčič, Danutė Batiuškaitė, Lluis M. Mir, Davorka Šel, T. Slivnik, S Rebersek, Franck M. André, N. Pavšelj, Igor Kononenko and Marko Robnik‐Šikonja and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Artificial Intelligence in Medicine and Bioelectrochemistry.

In The Last Decade

D. Cukjati

12 papers receiving 605 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Cukjati Slovenia 8 425 391 100 78 70 12 623
Dejan Šemrov Slovenia 10 660 1.6× 570 1.5× 21 0.2× 124 1.6× 143 2.0× 10 762
Pamela Nuccitelli United States 8 372 0.9× 272 0.7× 48 0.5× 82 1.1× 200 2.9× 9 569
Tanja Blagus Slovenia 11 192 0.5× 107 0.3× 6 0.1× 64 0.8× 111 1.6× 31 380
Kaying Lui United States 4 160 0.4× 121 0.3× 25 0.3× 32 0.4× 92 1.3× 5 257
Auksė Zinkevičienė Lithuania 12 210 0.5× 112 0.3× 12 0.1× 45 0.6× 106 1.5× 38 373
Audrius Grainys Lithuania 12 341 0.8× 206 0.5× 6 0.1× 39 0.5× 70 1.0× 36 461
Nataša Pavšelj Slovenia 13 452 1.1× 321 0.8× 5 0.1× 132 1.7× 127 1.8× 14 672
Chunlan Jiang United States 9 268 0.6× 314 0.8× 5 0.1× 64 0.8× 76 1.1× 14 533
N. Pavšelj Slovenia 6 416 1.0× 327 0.8× 4 0.0× 77 1.0× 96 1.4× 7 499
Karel Flisar Slovenia 12 385 0.9× 288 0.7× 4 0.0× 44 0.6× 114 1.6× 16 506

Countries citing papers authored by D. Cukjati

Since Specialization
Citations

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

Fields of papers citing papers by D. Cukjati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Cukjati

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

All Works

12 of 12 papers shown
1.
Cukjati, D., Danutė Batiuškaitė, Franck M. André, Damijan Miklavčič, & Lluis M. Mir. (2006). Real time electroporation control for accurate and safe in vivo non-viral gene therapy. Bioelectrochemistry. 70(2). 501–507. 108 indexed citations
2.
Šel, Davorka, D. Cukjati, Danutė Batiuškaitė, et al.. (2005). Sequential Finite Element Model of Tissue Electropermeabilization. IEEE Transactions on Biomedical Engineering. 52(5). 816–827. 197 indexed citations
3.
Miklavčič, Damijan, Davorka Šel, D. Cukjati, et al.. (2005). Sequential Finite Element Model of Tissue Electropermeabilisation. PubMed. 4. 3551–3554. 44 indexed citations
4.
Pavšelj, N., et al.. (2005). The Course of Tissue Permeabilization Studied on a Mathematical Model of a Subcutaneous Tumor in Small Animals. IEEE Transactions on Biomedical Engineering. 52(8). 1373–1381. 101 indexed citations
5.
Pavlović, Ivan, Peter Kramar, Selma Čorović, D. Cukjati, & Damijan Miklavčič. (2004). A web-application that extends functionality of medical device for tumor treatment by means of electrochemotherapy. Radiology and Oncology. 38(1). 3 indexed citations
6.
Pavlović, Ivan, Peter Kramar, Selma Čorović, D. Cukjati, & Damijan Miklavčič. (2004). The Web-based medical record system to support clinical trials. 1. 407–410. 1 indexed citations
7.
Robnik‐Šikonja, Marko, D. Cukjati, & Igor Kononenko. (2003). Comprehensible evaluation of prognostic factors and prediction of wound healing. Artificial Intelligence in Medicine. 29(1-2). 25–38. 24 indexed citations
8.
Cukjati, D., R. Karba, S Rebersek, & Damijan Miklavčič. (2002). Measures of wound healing rate. 1. 765–768. 4 indexed citations
9.
Cukjati, D., Marko Robnik‐Šikonja, S Rebersek, Igor Kononenko, & Damijan Miklavčič. (2001). Prognostic factors in the prediction of chronic wound healing by electrical stimulation. Medical & Biological Engineering & Computing. 39(5). 542–550. 34 indexed citations
10.
Cukjati, D., S Rebersek, & Damijan Miklavčič. (2001). A reliable method of determining wound healing rate. Medical & Biological Engineering & Computing. 39(2). 263–271. 69 indexed citations
11.
Cukjati, D., S Rebersek, R. Karba, & Damijan Miklavčič. (2000). Modelling of chronic wound healing dynamics. Medical & Biological Engineering & Computing. 38(3). 339–347. 33 indexed citations
12.
Cukjati, D., et al.. (1998). Mathematical Modeling of Chronic Wound Healing. Electromagnetic Biology and Medicine. 17(2). 237–242. 5 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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