Cristian Tunsu

29 total papers · 1.1k total citations
17 papers, 887 citations indexed

About

Cristian Tunsu is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Geochemistry and Petrology. According to data from OpenAlex, Cristian Tunsu has authored 17 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanical Engineering, 9 papers in Industrial and Manufacturing Engineering and 7 papers in Geochemistry and Petrology. Recurrent topics in Cristian Tunsu's work include Extraction and Separation Processes (12 papers), Recycling and Waste Management Techniques (9 papers) and Geochemistry and Elemental Analysis (7 papers). Cristian Tunsu is often cited by papers focused on Extraction and Separation Processes (12 papers), Recycling and Waste Management Techniques (9 papers) and Geochemistry and Elemental Analysis (7 papers). Cristian Tunsu collaborates with scholars based in Sweden, Romania and Saudi Arabia. Cristian Tunsu's co-authors include Christian Ekberg, Teodora Retegan, Martina Petraniková, Marino Gergorić, Björn Wickman, Y. Ménard, M.R.St.J. Foreman, Dag Øistein Eriksen, Burçak Ebin and Cláudio M. Lousada and has published in prestigious journals such as Nature Communications, Journal of Power Sources and Journal of Hazardous Materials.

In The Last Decade

Cristian Tunsu

16 papers receiving 870 citations

Author Peers

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

Author						Papers	Cites
Cristian Tunsu	684	419	205	196	185	17	887
Pillai Abhilash	770 1.1×	376 0.9×	68 0.3×	88 0.4×	302 1.6×	23	982
Kyeong Woo Chung	716 1.0×	289 0.7×	187 0.9×	151 0.8×	164 0.9×	43	982
Jhumki Hait	648 0.9×	394 0.9×	64 0.3×	80 0.4×	309 1.7×	18	831
Archana Kumari	649 0.9×	483 1.2×	91 0.4×	67 0.3×	276 1.5×	36	980
Dali Cui	808 1.2×	262 0.6×	365 1.8×	410 2.1×	56 0.3×	22	1.0k
Chris Vernon	342 0.5×	116 0.3×	102 0.5×	179 0.9×	137 0.7×	21	730
Nagaphani Kumar Batchu	908 1.3×	338 0.8×	444 2.2×	189 1.0×	99 0.5×	27	1.1k
Yuhu Li	542 0.8×	216 0.5×	37 0.2×	121 0.6×	155 0.8×	35	810
Xuehua Shen	425 0.6×	148 0.4×	91 0.4×	48 0.2×	140 0.8×	44	794
Laurence Dyer	485 0.7×	186 0.4×	90 0.4×	99 0.5×	114 0.6×	31	783

Countries citing papers authored by Cristian Tunsu

Since Specialization

Citations

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

Fields of papers citing papers by Cristian Tunsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristian Tunsu

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