Maria Sokhn

851 total citations · 1 hit paper
36 papers, 543 citations indexed

About

Maria Sokhn is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Maria Sokhn has authored 36 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 12 papers in Information Systems and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Maria Sokhn's work include Semantic Web and Ontologies (12 papers), Mobile Crowdsensing and Crowdsourcing (5 papers) and Spam and Phishing Detection (4 papers). Maria Sokhn is often cited by papers focused on Semantic Web and Ontologies (12 papers), Mobile Crowdsensing and Crowdsourcing (5 papers) and Spam and Phishing Detection (4 papers). Maria Sokhn collaborates with scholars based in Switzerland, Lebanon and France. Maria Sokhn's co-authors include Rima Kilany, Philippe Cudré-Mauroux, Elena Mugellini, Omar Abou Khaled, Roland Schegg, Heiko Schuldt, Maria Chiara Pettenati, Francesco Carrino, Piotr S. Szczepaniak and Florian Évéquoz and has published in prestigious journals such as Computers & Industrial Engineering, Journal of Ambient Intelligence and Humanized Computing and Journal of Electronic Science and Technology.

In The Last Decade

Maria Sokhn

30 papers receiving 501 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The power of a blockchain-based supply chain

2019 397 citations Maria Sokhn et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria Sokhn Switzerland	7	382	175	154	96	91	36	543
Shoufeng Cao Australia	14	256 0.7×	123 0.7×	109 0.7×	59 0.6×	34 0.4×	26	487
Rima Kilany Lebanon	7	335 0.9×	176 1.0×	174 1.1×	113 1.2×	19 0.2×	27	586
Samant Saurabh India	8	253 0.7×	124 0.7×	64 0.4×	76 0.8×	55 0.6×	13	492
İ̇hsan Tolga Medeni Türkiye	9	231 0.6×	167 1.0×	106 0.7×	62 0.6×	54 0.6×	36	451
Yani Shi China	7	272 0.7×	107 0.6×	94 0.6×	43 0.4×	33 0.4×	12	384
Jens Strüker Germany	14	220 0.6×	80 0.5×	104 0.7×	86 0.9×	112 1.2×	41	601
YiChian Chen Taiwan	6	717 1.9×	318 1.8×	322 2.1×	102 1.1×	33 0.4×	6	866
Giulio Caldarelli Italy	10	366 1.0×	103 0.6×	120 0.8×	70 0.7×	21 0.2×	13	457
Gavina Baralla Italy	8	299 0.8×	53 0.3×	64 0.4×	33 0.3×	49 0.5×	17	417
Suling Jia China	8	172 0.5×	130 0.7×	106 0.7×	60 0.6×	48 0.5×	32	403

Countries citing papers authored by Maria Sokhn

Since Specialization

Citations

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

Fields of papers citing papers by Maria Sokhn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Sokhn

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

All Works

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20 of 20 papers shown

1.

Sokhn, Maria, et al.. (2021). SAMS: Human-in-the-loop approach to combat the sharing of digital misinformation. ArODES (HES-SO (https://www.hes-so.ch/)). 2846. 5 indexed citations

2.

Fragnière, Emmanuel, et al.. (2021). The Student Journey Map (SJM): a scenario-based approach to professionalizing digital education. ArODES (HES-SO (https://www.hes-so.ch/)). 1–6.

3.

Fragnière, Emmanuel, et al.. (2021). The Student Journey Map (SJM): a scenario-based approach to professionalizing digital education. 9. 1–6. 1 indexed citations

4.

Sokhn, Maria, et al.. (2020). Hybrid Human-Machine Classification System for Cultural Heritage Data. ArODES (HES-SO (https://www.hes-so.ch/)). 49–56. 1 indexed citations

5.

Blanc, Nicolas, et al.. (2019). Building a Crowdsourcing based Disabled Pedestrian Level of Service routing application using Computer Vision and Machine Learning. ArODES (HES-SO (https://www.hes-so.ch/)). 1–5. 2 indexed citations

6.

Sokhn, Maria, et al.. (2018). How to motivate participation and improve quality of crowdsourcing when building accessibility maps. ArODES (HES-SO (https://www.hes-so.ch/)). 1–6. 11 indexed citations

7.

Sokhn, Maria, et al.. (2018). Hybrid Machine-Crowd Approach for Fake News Detection. 299–306. 41 indexed citations

8.

Sokhn, Maria, et al.. (2017). The new information technologies at the service of historical and cultural heritage and tourism promotion. 219–234. 1 indexed citations

9.

Sokhn, Maria, et al.. (2016). City Eye. ArODES (HES-SO (https://www.hes-so.ch/)). 350–351. 1 indexed citations

10.

Sokhn, Maria, et al.. (2015). Linked Data Based Framework for Tourism Decision Support System: Case Study of Chinese Tourists in Switzerland. Journal of Computer and Communications. 3(5). 118–126. 1 indexed citations

11.

Sokhn, Maria, et al.. (2014). Semantic based auto-completion of business process modelling in egovernment. GI-Jahrestagung. 1107–1118. 1 indexed citations

12.

Sokhn, Maria, et al.. (2014). Enhancing Business Process modelling for e-Government processes using semantic web technologies and Linked Data principles. ArODES (HES-SO (https://www.hes-so.ch/)). 1–8.

13.

Sokhn, Maria, et al.. (2014). Tracking a Screen and Detecting Its Rate of Change in 3-D Video Scenes of Multipurpose Halls. Journal of Electronic Science and Technology. 12(1). 116–121.

14.

Sokhn, Maria, et al.. (2014). Business Process Fragmentation for Enhancing Process Modeling. 14–17. 6 indexed citations

15.

Sokhn, Maria, et al.. (2014). Energetic dashboard. ArODES (HES-SO (https://www.hes-so.ch/)). 142–145. 1 indexed citations

16.

Sokhn, Maria, et al.. (2013). Dynamic Extended Rectangle Based Method for 3D Visual Scene Segmentation. 8(4). 892–899.

17.

Sokhn, Maria, et al.. (2012). Adabev: Automatic Detection Of Abnormal Behavior In Video-Surveillance. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations

18.

Sokhn, Maria, et al.. (2011). Multiview Browsing and Visualization of Distributed Information. 1. 1–7. 1 indexed citations

19.

Sokhn, Maria, Elena Mugellini, Omar Abou Khaled, & Ahmed Serhrouchni. (2010). Conference knowledge modelling for conference-video-recordings querying and visualization.. 1. 95–111. 1 indexed citations

20.

Sokhn, Maria, Elena Mugellini, & Omar Abou Khaled. (2009). Knowledge Management Framework for Conference Video-recording Retrieval.. Software Engineering and Knowledge Engineering. 709–714. 2 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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