Senka Gudić

1.5k citations
59 papers · 1.3k indexed · h-index 20

Senka Gudić

52 papers receiving 1.2k citations

Peers

Senka Gudić
Comparison fields: 5 of 71
  • Metals and Alloys 283
  • Materials Chemistry 1.0k
  • Civil and Structural Engineering 370
  • Aerospace Engineering 210
  • Biomaterials 100
Replace Maja Kliškić with:
Maja Kliškić Croatia
M.A. Pech‐Canul Mexico
L. Martínez-Gómez Mexico
J. Porcayo-Calderón Mexico
Padmalatha Rao India
Rakesh Chandra Barik India
Stefan Krakowiak Poland
И. И. Курило Belarus
Cecília Inês Elsner Argentina
Iman Mohammadi Iran
Senka Gudić relative to Maja Kliškić Croatia Maja Kliškić's profile →
Citations per field
00.5×1.5×2.1×
Maja Kliškić · 1×
Citations per year

Countries citing papers authored by Senka Gudić

Since Specialization
Citations

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

Fields of papers citing papers by Senka Gudić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Senka Gudić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Senka Gudić Line = papers co-authored together Senka Gudić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20242
3 20242
4 20240
5 20243
6 20242
7 20234
8 202317
9 20231
10 20225
11 20209
12 201824
13 20181
14
Corrosion inhibition of AA 5052 aluminium alloy in 0.5 M NaCl solution by different types of honey
201619
15
Investigation of corrosion behaviour of CuAlNi alloy in 0.9% NaCl solution
20150
16 201416
17
Salvia officinalis L. honey as corrosion inhibitor for CuNiFe alloy in sodium chloride solution
20128
18
Corrosion inhibition of Al-Mg alloy by gentisic acid
20100
19 2010108
20
Application of Phenolic Acids in the Corrosion Protection of Al-0.8Mg Alloy in Chloride Solution
200914

About Senka Gudić

Senka Gudić is a scholar working on Metals and Alloys, Materials Chemistry and Civil and Structural Engineering, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Corrosion Behavior and Inhibition (41 papers), Anodic Oxide Films and Nanostructures (19 papers), Hydrogen embrittlement and corrosion behaviors in metals (18 papers), Concrete Corrosion and Durability (16 papers), Electrodeposition and Electroless Coatings (7 papers), Aluminum Alloy Microstructure Properties (4 papers), Advanced oxidation water treatment (4 papers) and Shape Memory Alloy Transformations (4 papers). The work is most often cited by research in Metals and Alloys (283 citations), Materials Chemistry (1.0k citations) and Civil and Structural Engineering (370 citations). Senka Gudić has collaborated with scholars based in Croatia, Slovenia and Nigeria. Frequent co-authors include Maja Kliškić, Jagoda Radošević, Ivana Smoljko, Ladislav Vrsalović, Višnja Katalinić, Stjepan Kožuh, Aleš Nagode, Ani Radonić, Mirko Gojić and Borut Kosec. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Electrochimica Acta.

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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